Role Summary
The GCP Delivery Lead is responsible for driving the technical vision, architecture, and delivery of enterprise-scale solutions on Google Cloud Platform (GCP). This role combines deep technical expertise with strong delivery leadership and customer engagement capabilities, working closely with clients, Google teams, and internal stakeholders.
Key Responsibilities
Technical Leadership
Define and own GCP solution architecture and technical strategy for client engagements
Design scalable, secure, and resilient cloud-native architectures
Establish architecture standards, best practices, and reusable frameworks
Provide governance and oversight across multiple programs
Delivery Leadership
Ensure successful delivery of cloud transformation and modernization initiatives
Conduct architecture reviews, risk assessments, and quality assurance
Guide engineering teams through complex implementations
Ensure solutions meet performance, security, and scalability standards
Google Partnership & Pre-Sales
Act as primary technical interface with Google Cloud teams
Support joint solutioning, co-selling, and client workshops
Contribute to proposals, solution design, and executive presentations
AI & Data Solutions
Lead enterprise AI, GenAI, and data platform architecture on GCP
Drive adoption of Vertex AI, BigQuery , and modern AI/ML platforms
Advise clients on AI strategy, transformation, and innovation
Practice Development
Build and mentor high-performing architecture and engineering teams
Drive certifications, capability building, and hiring initiatives
Create accelerators, reusable assets, and reference architectures
Contribute to practice growth and go-to-market strategies
Required Qualifications
Experience
12+ years in cloud architecture, software engineering, or consulting
5+ years of hands-on GCP architecture and delivery experience
Proven track record in large-scale cloud transformation programs
Experience managing multi-client and multi-program delivery
Technical Expertise
Strong experience in:
GCP services: GKE, Cloud Run, Compute Engine, Cloud Functions
Data & analytics: BigQuery , Dataflow, Dataproc